Posts by Algorithmia
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17 December 2019
7 min read
Six open-source machine learning tools you should know As more organizations incorporate AI and machine learning into their processes, data scientists and analysts must continue to learn about how these techniques solve business problems. Previously on this blog we discussed how particular algorithms...
13 December 2019
5 min read
Types of machine learning Machine learning comes in three basic types: supervised, unsupervised, and reinforcement learning. Reinforcement learning follows a different paradigm from the other two, so we’ll leave it for another post.  The most common form of machine learning, and the most prototypical,...
10 December 2019
4 min read
Demand forecasting is a common business practice for optimizing workflow in inventory, but it  actually has use cases across all industries even if it isn’t immediately clear. Let’s walk through how demand forecasting can be used and explore its value.    What is demand forecasting? Demand forecasting...
6 December 2019
6 min read
Machine learning is a vast field, composed of many model types, subsets, and use cases. In our forthcoming 2020 State of Enterpriser Machine Learning report, we dig into the use cases that are used most often by businesses today, but as there are new advances made in ML every day, there are also advances...
29 November 2019
10 min read
Sentiment analysis invites us to consider the sentence, You’re so smart! and discern what’s behind it. It sounds like quite a compliment, right? Clearly the speaker is raining praise on someone with next-level intelligence. However, consider the same sentence in the following context. Wow,...
25 November 2019
6 min read
(Wikispecies) R is an excellent language for machine learning. R primarily excels in the following three areas: Data manipulation Plotting Built-in libraries R manipulates data using a native, in-built data structure called a data frame. Let’s load some data now and see how R can help us to...
20 November 2019
6 min read
(Depiction of a clustering model, Medium) Getting started with machine learning starts with understanding the how and why behind employing particular methods. We’ve chosen five of the most commonly used machine learning models on which to base the discussion. AI taxonomy  Before diving too deep,...
7 November 2019
5 min read
Why is churn prediction important?  Defined loosely, churn is the process by which customers cease doing business with a company. Preventing a loss in profits is one clear motivation for reducing churn, but other subtleties may underlie a company’s quest to quell it. Most strikingly, the cost of...
31 October 2019
5 min read
If you’ve been keeping informed of what’s happening in the AI and machine learning world, you’ve probably heard a lot of talk about this nebulous thing called the cloud. While the cloud is often used to describe a variety of offerings for decentralized computing, there’s an underlying similarity...
24 October 2019
12 min read
We hear more and more everyday that businesses are sitting on troves of valuable data. It’s compared to precious metals, unrefined oil, or cash in a vault. But those items aren’t valuable simply because they exist. Their value comes from what is created out of them. The same holds true for data....